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[Mėnulio Švytuoklė <address@hidden>]

Hello.
Question is very short:
How to fit code block in width of a paper, and split long listing into
a few pages?

I have attached a problematic file, in order to show a burden, because
it is very hard to understand an exact problem.

Thank anyone who would help :)

Attachment: problem.pdf
Description: Adobe PDF document

<TeXmacs|2.1>

<style|<tuple|generic|framed-program>>

<\body>
  <doc-data|<doc-title|Problem>>

  How to fit code block in width of a paper, and split long listing into a
  few pages?

  A problematic part:

  An expected result is algorithm block splitted in pages.

  <\algorithm>
    <\python-code>
      \;

      print("=============DATABASES================")

      \;

      import mysql.connector

      import matplotlib.pyplot as plt

      \;

      #mydb = mysql.connector.connect(

      # \ host="192.168.1.4",

      # \ user="user",

      # \ password="passwd"

      #)

      \;

      mydb = mysql.connector.connect(

      \ \ host="localhost",

      \ \ user="user",

      \ \ password="password"

      )

      \;

      table = 'DUS_2014'

      \;

      salary_f = []

      salary_m = []

      salary_fg = []

      salary_mg = []

      salary_fgSp = []

      salary_mgSp = []

      #list all databases:

      cursor = mydb.cursor()

      cursor.execute("SHOW DATABASES")

      for x in cursor:

      \ \ print(x[0])

      cursor.execute("use works")

      sql_f = 'select CB41 from %s where B21 = "F"'%(table)

      cursor.execute(sql_f)

      result_f = cursor.fetchall()

      for i in result_f:

      \ \ \ \ salary_f.append(float(i[0])/12.0)

      sql_m = 'select CB41 from %s where B21 = "M"'%(table)

      cursor.execute(sql_m)

      result_m = cursor.fetchall()

      for i in result_m:

      \ \ \ \ salary_m.append(float(i[0])/12.0)

      \;

      edu = "G3"

      age="30-39"

      \;

      sql_fg = 'select CB41 from DUS_2014 where B21 = "F" and B25 = "%s" and
      B22_CLASS = "%s" and CB41\<less\>120000'%(edu, age)

      sql_mg = 'select CB41 from DUS_2014 where B21 = "M" and B25 = "%s" and
      B22_CLASS = "%s" and CB41\<less\>120000 '%(edu, age)

      \;

      cursor.execute(sql_fg)

      result_fg = cursor.fetchall()

      for i in result_fg:

      \ \ \ \ salary_fg.append(float(i[0])/12.0)

      cursor.execute(sql_mg)

      result_mg = cursor.fetchall()

      for i in result_mg:

      \ \ \ \ salary_mg.append(float(i[0])/12.0)

      \;

      sql_fgSp = 'select CB42 from DUS_2014 where B21 = "F" and B25 = "%s"
      and B22_CLASS = "%s" and CB41\<less\>120000'%(edu, age)

      sql_mgSp = 'select CB42 from DUS_2014 where B21 = "M" and B25 = "%s"
      and B22_CLASS = "%s" and CB41\<less\>120000 '%(edu, age)

      \;

      cursor.execute(sql_fgSp)

      result_fgSp = cursor.fetchall()

      for i in result_fgSp:

      \ \ \ \ salary_fgSp.append(float(i[0]))

      cursor.execute(sql_mgSp)

      result_mgSp = cursor.fetchall()

      for i in result_mgSp:

      \ \ \ \ salary_mgSp.append(float(i[0]))

      \;

      \;

      fig, ((ax0, ax1),(ax2, ax3)) = plt.subplots(2,2)

      # ax0 - bendri alyginimai (vidutinis m\<#117\>nesio atlyginimas, gautas
      vidutin\<#12F\> metin\<#12F\> padalinus i² 12-kos)

      ax0.boxplot([salary_f, salary_m], showmeans=True, showfliers=False)

      ax0.set_xticklabels(['F', 'M'])

      ax0.set_title("Vidutinis m\<#117\>nesio atlyginimas")

      ax1.boxplot([salary_fg, salary_mg], showmeans=True, showfliers=False)

      ax1.set_xticklabels(['F', 'M'])

      ax1.set_title("VDU (%s, %s)"%(edu, age))

      \;

      ax2.boxplot([salary_fgSp, salary_mgSp], showmeans=True,
      showfliers=False)

      ax2.set_xticklabels(['F', 'M'])

      ax2.set_title("VDU Spalio (%s, %s)"%(edu, age))

      fig.canvas.set_window_title('VDU 2014')

      fig.tight_layout()
    </python-code>
  </algorithm>
</body>

<\initial>
  <\collection>
    <associate|page-medium|paper>
    <associate|prog-scripts|python>
  </collection>
</initial>